In the wake of years of high-profile data leaks, regulatory tidal waves like GDPR and ever-mounting pressure from media and consumers, data leaders are exploring new methods to protect customer personal data throughout the enterprise analytics lifecycle.
This webinar explores the emergence of privacy-preservation technologies in enterprise analytics, how they can be most effectively applied in analytics projects and what data leaders need to consider when protecting customer privacy.
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Understanding privacy-preserving matching techniques for data analytics
Data Republic’s Daniel Austin provides an overview of privacy-preserving matching techniques:
ABOUT THE SPEAKER
Daniel is the Technical Product Manager for Senate Matching, Data Republic’s unique privacy-preserving matching technology. Joining Data Republic in 2015 as a founding team member, Dan leads product strategy and development for Data Republic’s patent-pending Senate Matching technology suite. With an extensive career working at the intersection of data, product development and emerging technologies Dan has previously held roles at Westfield, UTS and Smart Services.
About Data Republic
Data Republic is a data exchange technology platform and marketplace where organisations can exchange data and collaborate on projects in a secure environment.
Data Republic’s technology makes it simple and secure for organisations to commercialise and share data in a way which respects consumer privacy and business interests.
We believe that when data can flow securely between individuals, organisations and governments, wiser decisions can be made and better outcomes delivered for both business and society as a whole.
Join our ecosystem today and realise the true potential of your data.